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F uture & E merging T echnologies in the I nformation S ociety T echnologies programme of

F uture & E merging T echnologies in the I nformation S ociety T echnologies programme of E uropean C ommission. Complex systems research funding in European Commission. Ralph Dum. ralph.dum@ec.europa.eu. Why funding complex systems research?. More is different: Interactions

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F uture & E merging T echnologies in the I nformation S ociety T echnologies programme of

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  1. Future & Emerging Technologies in the Information Society Technologies programme of European Commission Complex systems research funding in European Commission Ralph Dum ralph.dum@ec.europa.eu

  2. Why funding complex systems research? More is different: Interactions determine system behaviour From individual to collectives: The Internet - P2P systems The cell - The brain Stock market Culture - Norms Ant colonies - Ecosystems The climate Living systems Social systems Large scale artificial systems Are there general organisational and functional principles for such systems? Can we design/build better functioning systems based on such understanding?

  3. Why funding complex systems research? More is different: Interactions determine system behaviour From individual to collectives: The Internet - P2P systems The cell - The brain Stock market Culture - Norms Ant colonies - Ecosystems The climate Living systems Social systems Large scale artificial systems Are there general organisational and functional principles for such systems? Can we design/build better functioning systems based on such understanding?

  4. Example of a FET funded projectSelf-organising semantics in embodied agents Can ‘human-like’ language arise in communicating embodied robots ? What are the prerequisites for developing communication? Grammar  combinatorial systems Three SONY AIBOs paying attention to an object Interacting swarm-bots FET project: ECAGENT Four assembled s-bots

  5. Example of FET funded projects: Internet -unbounded world of information ‘The Internet is the most complex artificial computational artefact ever created by man. It evolves in absence of any central controlguided by the economic interests of participants’ (Papadimitriou 2001) Internet is ever growing: Nodes are constantly added and removed FET projects: EVERGROW DELIS An Expanding universe

  6. Funding of complex systems: EC framework/national programmes • EC Funding within ICT(directorate for information & media) 40Million Euros – FET • EC Funding outside ICT (directorate for research) 35 Million Euros - NEST • National funding: EPSRC (10Mpounds), CNRS…… • Coordination activities: ONCE-CS.net Outlook EC 7th framework programme: • Complex systems science for socially intelligent IT • Complex systems ideas taken up in many areas

  7. What does all this have to do with economics ? Transportation The ‘physical’ Internet Economy Economy The Internet Information unbound Eco system Sustainability Convergence of Systems Power grids The ‘energy’ Internet Media IT drives a novel set of transformations: What consequences for society and business?

  8. From Individual to Mass and back Societies of minds Are Wikipedia, Google, e-bay … ‘social’ cognitive tools? ‘Social computing’ or Anarchy Mass self-communication Do blogging, podcasting … lead to ‘after Gutenberg’ era? • From centralised media/telecoms to P2P participatory Media • Online diversity versus cultural diversity

  9. Towards an information science of social processes Bridging human and computational processes Agent-based/ behavioural economics Formal models Services Economics Data + Models + Computation Humanities Social sciences Computer science AI Interfaces Services in the large: How to manage millions of online services?

  10. Thank you Annexes

  11. Annexe:Three signatures of complexity Sensitivity to parameters • Input and output not proportional: ‘small change -big effect’ • Positive Feedback loops • Extreme events dominate the mean: cascading failures, crashes… ‘More is different’ • Emergence: Self-organisation - Collective behaviour • Multiple levels of description & operation: ‘micro to macro’ • ‘Complex systems often show simple global behaviour’ • Quarks  Bulldozer ‘Pool of possibilities’ Existence of multiple equilibria: Systems can evolve along several paths – no global optimum Role of prediction? (experiment versus simulation)

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